☆ 4.5 Article

A belief Renyi divergence for multi-source information fusion and its application in pattern recognition

APPLIED INTELLIGENCE (2023)

Related references

Note: Only part of the references are listed.

Article Statistics & Probability

A generalization of Renyi entropy for basic probability assignment

Ran Yu et al.

Summary: In this paper, a generalized Renyi entropy is proposed to measure the uncertainty of basic probability assignments, and some desirable properties are explored. Numerical examples demonstrate the feasibility and effectiveness of the proposed method. The entropy is shown to be more efficient compared to other existing measures.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2023)

Add to Collection

Article Mathematics, Interdisciplinary Applications

Belief entropy-of-entropy and its application in the cardiac interbeat interval time series analysis

Huizi Cui et al.

Summary: This paper introduces a method based on belief entropy to measure the complexity of physiological signals in biological systems. The method has better accuracy and applicability compared to existing entropy algorithms.

CHAOS SOLITONS & FRACTALS (2022)

Add to Collection

Article Automation & Control Systems

Random Permutation Set

Yong Deng

Summary: This paper explores the meaning of the power set in evidence theory and proposes a possible explanation of the power set based on Pascal's triangle and combinatorial number. It introduces a new kind of set called random permutation set (RPS), which consists of permutation event space (PES) and permutation mass function (PMF). The paper also discusses and summarizes the comparisons of probability theory, evidence theory, and RPS, and presents an RPS-based data fusion algorithm, which is applied in threat assessment and proves to effectively handle uncertainty.

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (2022)

Add to Collection

Article Nuclear Science & Technology

Dependence assessment in human reliability analysis under uncertain and dynamic situations

Xianghao Gao et al.

Summary: Human reliability analysis (HRA) is important in fields like nuclear engineering, and assessing dependence among human tasks is a key part of HRA. However, existing methods rely on subjective and uncertain expert opinions and cannot handle dynamic influencing factors. In this paper, a new model based on Dempster-Shafer evidence theory and fuzzy numbers is proposed to address these challenges.

NUCLEAR ENGINEERING AND TECHNOLOGY (2022)

Add to Collection

Article Automation & Control Systems

Transparent Digital Twin for Output Control Using Belief Rule Base

Leilei Chang et al.

Summary: The transparent digital twin (DT) designed for output control using the belief rule base (BRB), namely DT-BRB, aims to model complex relationships between system inputs and outputs, and control outputs by identifying and optimizing key parameters in the inputs. The approach consists of three major steps: modeling input-output relationships with BRB, identifying key parameters with high contribution to the output, and data-driven optimization for output control. A case study on the Wuhan Metro System shows that the proposed DT-BRB approach is effective in reducing the building tilt rate without the need for iterative optimizations.

IEEE TRANSACTIONS ON CYBERNETICS (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Resilience assessment of electrified road networks subject to charging station failures

Hongping Wang et al.

Summary: This paper presents a mathematical framework to analyze the resilience of an electrified road network (ERN) subject to potential failures of its supporting fast-charging stations (FCSs) and develops a linear optimization model to solve the dynamic traffic assignment problem. The results indicate that deploying and maintaining charging facilities near highway entrances are key factors in enhancing system resilience.

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

A generalized χ2 divergence for multisource information fusion and its application in fault diagnosis

Xueyuan Gao et al.

Summary: A novel reinforced belief χ² divergence measure has been proposed to handle conflicting information in multisource information fusion, along with a new fusion method based on this measure. The method shows superior performance in fault diagnosis applications compared to existing methods.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2022)

Add to Collection

Article Automation & Control Systems

Information Quality for Intuitionistic Fuzzy Values with Its Application in Decision Making

Dawei Xie et al.

Summary: This paper proposes a method to quantify and rank intuitionistic fuzzy information based on a pseudo probability transformation, and demonstrates its effectiveness in decision making through empirical studies.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Evolutionary Markov Dynamics for Network Community Detection

Zhen Wang et al.

Summary: Community structure division is a crucial issue in network data analysis, and algorithms based on Markov chains offer promising solutions for community detection. The MCL algorithm utilizes a dynamic process of updating flow distribution matrix and transition matrix, affecting accuracy and computational cost. A Physarum-inspired relationship among vertices is proposed to enhance transition probability in MCL-based community detection algorithms, showing better computational efficiency and detection performance in experiments.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

Add to Collection

Article Management

Dynamic subgroup-quality-based consensus in managing consistency, nearness, and evenness quality indices for large-scale group decision making under hesitant environment

Ming Tang et al.

Summary: This study introduces three subgroup quality indices to evaluate the effectiveness of LSGDM methods, and proposes an adaptive dynamic consensus reaching process to enhance the consistency and effectiveness of decision results.

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2021)

Add to Collection

Article Automation & Control Systems

A new belief divergence measure for Dempster-Shafer theory based on belief and plausibility function and its application in multi-source data fusion

Hongfei Wang et al.

Summary: This paper proposes a new belief divergence measure for DST, which can better handle highly conflicting evidence, and a new multi-source data fusion method based on this measure, which can fully reflect the relationship between evidences. Application cases and simulation results verify the rationality and effectiveness of the proposed method.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Add to Collection

Article Management

Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis

Lei Ni et al.

Summary: Understanding the socially influenced decision-making process for voluntary vaccination is crucial for developing strategies and interventions against vaccine-preventable diseases. Factors such as vaccine safety, disease severity, and advice from healthcare professionals influence individuals' intention to vaccinate. Limited research has been conducted on systematically analyzing how individuals' vaccine acceptance decisions are made from their beliefs and judgements on influential factors. The spreading of vaccination-related information in a social network can affect individuals' decision making and overall vaccination coverage.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

Add to Collection

Article Computer Science, Information Systems

A novel fuzzy rough set model with fuzzy neighborhood operators

Jin Ye et al.

Summary: This paper redefines fuzzy beta-neighborhood operators to achieve reflexivity, constructs an ITFRS model based on these reflexive operators, and proposes a new decision-making method for multi-criteria decision-making problems.

INFORMATION SCIENCES (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Conflicting management of evidence combination from the point of improvement of basic probability assignment

Yuanpeng He et al.

Summary: An improved method is proposed for addressing the conflicting management issue in the Dempster combination rule, which is crucial in multisource data fusion for applications like group decision making and target recognition. The new combination method presented in this study can handle highly conflicting environments without requiring normalization, offering convenience in computation and higher accuracy in predicting potential possibilities, especially in extreme circumstances. The validity and rationality of the proposed method are confirmed through numerical examples and real benchmark data from the UCI database.

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2021)

Add to Collection

Article Automation & Control Systems

Probability transformation of mass function: A weighted network method based on the ordered visibility graph

Luyuan Chen et al.

Summary: The proposed OVGWP is a weighted network method based on the ordered visibility graph, using belief entropy to calculate information volume and generate a corresponding network for transforming basic probability assignment to probability distribution. Experimental results show that OVGWP produces effective and reasonable transformation performance while satisfying the consistency of upper and lower boundaries.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

Add to Collection

Article Automation & Control Systems

Velocity-Free Event-Triggered Control for Multiple Euler-Lagrange Systems With Communication Time Delays

Bo Wei et al.

Summary: This article proposes a new event-triggered communication scheme based on designing virtual systems for each agent, achieving coordination without velocity information and reducing communication and measurement costs. It excludes Zeno triggering and demonstrates the effectiveness of the proposed scheme through two simulation examples with six two-linked robot manipulator arms.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Large Graph Clustering With Simultaneous Spectral Embedding and Discretization

Zhen Wang et al.

Summary: This paper proposes a new method for graph clustering to solve challenging problems in spectral clustering methods by simultaneously performing spectral embedding and spectral rotation. By deriving a low-dimensional representation matrix from a graph using label propagation, a double-stochastic and positive semidefinite similarity matrix can be reconstructed, accelerating the algorithm. Experimental results demonstrate excellent performance of the method in terms of time cost and accuracy.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)

Add to Collection

Article Computer Science, Information Systems

Conflicting evidence combination from the perspective of networks

Leihui Xiong et al.

Summary: This paper proposes a new evidence combination method based on the interaction among nodes in complex networks, which combines evidence efficiently using weighted average and Dempster's rule of combination, showing better performance through a numerical example.

INFORMATION SCIENCES (2021)

Add to Collection

Review Computer Science, Artificial Intelligence

The fractal dimension of complex networks: A review

Tao Wen et al.

Summary: The fractal property is crucial in complex networks, with research focusing on it through different dimensions. Fractal dimension and local dimension are used to study network and node properties, while various algorithms for obtaining fractal dimension in networks are reviewed. Different dimensions describe the fractal property of networks and their applications, emphasizing its importance in understanding network characteristics. Potential future directions for fractal dimension research are also discussed.

INFORMATION FUSION (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

A distance for belief functions of orderable set

Cuiping Cheng et al.

Summary: This paper introduces a method for measuring conflicts between ordered sets, which effectively quantifies the similarity between sets and provides a more robust and accurate characterization of the agreement of ordered sets.

PATTERN RECOGNITION LETTERS (2021)

Add to Collection

Article Mathematics, Interdisciplinary Applications

INFORMATION VOLUME FRACTAL DIMENSION

Qiuya Gao et al.

Summary: This paper investigates the application of Deng entropy in measuring uncertainty, revealing that the uncertainty of the separated basic probability assignment obtained through the maximum Deng entropy separation rule is greater than the original assignment. It also proposes the information volume fractal dimension to describe the fractal properties of the separated BPA distribution.

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY (2021)

Add to Collection

Article Materials Science, Multidisciplinary

Multidisciplinary design for structural integrity using a collaborative optimization method based on adaptive surrogate modelling

Debiao Meng et al.

Summary: An enhanced CO method based on adaptive surrogate models is proposed to improve the accuracy of the non-linear region of the response surface. The method modifies traditional surrogate models and replaces original objectives and constraints with adaptive surrogate models to enhance the optimization process. This approach demonstrates the effectiveness of CO in engineering structure design problems.

MATERIALS & DESIGN (2021)

Add to Collection

Article Engineering, Civil

An uncertainty-based design optimization strategy with random and interval variables for multidisciplinary engineering systems

Debiao Meng et al.

Summary: This study proposes a multidisciplinary design optimization strategy based on random and interval variables (UBMDO-RIV) to address the uncertainties in engineering systems, and introduces the classic decoupling strategy for UBMDO to reduce computational burden.

STRUCTURES (2021)

Add to Collection

Article Automation & Control Systems

Information Volume of Fuzzy Membership Function

J. X. Deng et al.

Summary: The paper introduces a new method to calculate the information volume of fuzzy membership function, which includes both first-order and higher-order information volume. The efficiency of the proposed method is illustrated through several examples.

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (2021)

Add to Collection

Article Engineering, Civil

Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State

Hongping Wang et al.

Summary: This paper proposes an integrated risk assessment framework for evaluating the risks in the electric power system related to EV charging technology in the transportation system of New York State. The framework models the propagation of transportation system scenarios onto the power system and quantifies the consequences, demonstrating the interactions between the two systems.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Add to Collection

Article Computer Science, Information Systems

Multiattribute group decision making based on neutrality aggregation operators of q-rung orthopair fuzzy sets

Harish Garg et al.

INFORMATION SCIENCES (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Assignment of attribute weights with belief distributions for MADM under uncertainties

Mi Zhou et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A heuristic representation learning based on evidential memberships: Case study of UCI-SPECTF

Hamido Fujita et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

An extended best-worst multi-criteria decision-making method by belief functions and its applications in hospital service evaluation

Liguo Fei et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Evidence Combination Based on Credal Belief Redistribution for Pattern Classification

Zhun-Ga Liu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Add to Collection

Article Computer Science, Information Systems

On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation

Xinyang Deng et al.

INFORMATION SCIENCES (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Generalized belief function in complex evidence theory

Fuyuan Xiao

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2020)

Add to Collection

Article Automation & Control Systems

Evidence combination based on prospect theory for multi-sensor data fusion

Fuyuan Xiao

ISA TRANSACTIONS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Aeronautical relay health state assessment model based on belief rule base with attribute reliability

Zhijie Zhou et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Add to Collection

Article Multidisciplinary Sciences

Communicating sentiment and outlook reverses inaction against collective risks

Zhen Wang et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)

Add to Collection

Article Physics, Multidisciplinary

Energy and entropy: Path from game theory to statistical mechanics

S. G. Babajanyan et al.

PHYSICAL REVIEW RESEARCH (2020)

Add to Collection

Article Automation & Control Systems

Information Volume of Mass Function

Y. Deng

INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (2020)

Add to Collection

Review Computer Science, Information Systems

Uncertainty measure in evidence theory

Yong Deng

SCIENCE CHINA-INFORMATION SCIENCES (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-level information fusion to alleviate network congestion

Joel Weijia Lai et al.

INFORMATION FUSION (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Generalized Dempster-Shafer Structures

Ronald R. Yager

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy

Fuyuan Xiao

INFORMATION FUSION (2019)

Add to Collection

Review Biochemistry & Molecular Biology

Paradoxical Survival: Examining the Parrondo Effect across Biology

Kang Hao Cheong et al.

BIOESSAYS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Some intuitionistic fuzzy power Bonferroni mean operators in the framework of Dempster-Shafer theory and their application to multicriteria decision making

Peide Liu et al.

APPLIED SOFT COMPUTING (2019)

Add to Collection

Article Computer Science, Information Systems

Generalized Belief Entropy and Its Application in Identifying Conflict Evidence

Fan Liu et al.

IEEE ACCESS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Weighted Fuzzy Dempster-Shafer Framework for Multimodal Information Integration

Yu-Ting Liu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Add to Collection

Article Automation & Control Systems

Belief Interval-Based Distance Measures in the Theory of Belief Functions

Deqiang Han et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Uncertainty measure in evidence theory with its applications

Xiaodan Wang et al.

APPLIED INTELLIGENCE (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Soft likelihood functions in combining evidence

Ronald R. Yager et al.

INFORMATION FUSION (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Data classification using evidence reasoning rule

Xiaobin Xu et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Soft set based association rule mining

Feng Feng et al.

KNOWLEDGE-BASED SYSTEMS (2016)

Add to Collection

Article Chemistry, Analytical

Sensor Data Fusion with Z-Numbers and Its Application in Fault Diagnosis

Wen Jiang et al.

SENSORS (2016)

Add to Collection

Article Computer Science, Information Systems

Renyi Divergence and Kullback-Leibler Divergence

Tim van Erven et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Combining belief functions based on distance of evidence

Y Deng et al.

DECISION SUPPORT SYSTEMS (2004)

Add to Collection

Article Computer Science, Artificial Intelligence

Combining belief functions when evidence conflicts

CK Murphy

DECISION SUPPORT SYSTEMS (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.